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About

Aditi Ramachandran is a pioneering researcher in socially assistive robotics and human-robot interaction, with a particular focus on leveraging social robots as educational tools for children. Her landmark review, "Social Robots for Education" (2018), has amassed over 1,400 citations and stands as a foundational reference in the field, synthesizing evidence that robots can achieve learning outcomes comparable to human tutoring by exploiting their unique physical presence. Through hands-on studies like the DragonBot nutrition project (124 citations), she demonstrated that robot-child interactions can be both joyful and pedagogically meaningful across diverse populations. Ramachandran has made especially significant contributions to personalization in robot tutoring, developing systems that adapt to individual students' mastery levels, engagement, and attention spans over extended interactions — work reflected in multiple influential papers on long-term human-robot interaction and POMDP-based tutoring frameworks. Her research on metacognitive strategies, help-seeking behavior, and cognitive breaks reveals a nuanced understanding of how robots can scaffold children's learning holistically. Collectively, her body of work, totaling nearly 2,000 citations, has substantially shaped how researchers and practitioners think about deploying intelligent, adaptive robots in real-world educational environments.